Probabilistic Hesitant Fuzzy Taxonomy Method Based on Best-Worst-Method (BWM) and Indifference Threshold-Based Attribute Ratio Analysis (ITARA) for Multi-attributes Decision-Making

Peide Liu, Yifan Wu, Ying Li. Probabilistic Hesitant Fuzzy Taxonomy Method Based on Best-Worst-Method (BWM) and Indifference Threshold-Based Attribute Ratio Analysis (ITARA) for Multi-attributes Decision-Making. Int. J. Fuzzy Syst., 24(3):1301-1317, 2022. [doi]

@article{LiuWL22-3,
  title = {Probabilistic Hesitant Fuzzy Taxonomy Method Based on Best-Worst-Method (BWM) and Indifference Threshold-Based Attribute Ratio Analysis (ITARA) for Multi-attributes Decision-Making},
  author = {Peide Liu and Yifan Wu and Ying Li},
  year = {2022},
  doi = {10.1007/s40815-021-01206-7},
  url = {https://doi.org/10.1007/s40815-021-01206-7},
  researchr = {https://researchr.org/publication/LiuWL22-3},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Fuzzy Syst.},
  volume = {24},
  number = {3},
  pages = {1301-1317},
}